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ANALISIS PENENTUAN TARIF BIAYA SATUAN PENDIDIKAN DENGAN MENGGUNAKAN METODE ACTIVITY BASED COSTING DI MAN 1 BAGANSIAPIAPI KABUPATEN ROKAN HILIR Nur aini, Nur aini; Gusnardi, Gusnardi; Hendripides, Hendripides
Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Vol 5: Edisi 2 Juli-Desember 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan

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Abstract

Abstract: This study aims to find out the exact cost of education based on calculation the method activity based costing in MAN 1 Bagansiapiapi, Rokan Hilir district. Data collection method used is documentation study. Based on the results of the stady it is know that the charging of education unit costs by using the ABC, method is obtained by the cost of education unit fees at MAN 1 Bagansiapiapi. The total education unit cost of class X is Rp 66.517 per month, the total education unit cost of class XI is Rp 74.666 per month, and the total education unit cost of class XII is Rp 69.437 per month. The determination of these rates is calculated using committee funds. Calculation of education unit costs using the ABC method can maximize the costs incurred by students each month. While the unit cost of education applied by the school user tradisional system methods so far the exactwa education unit costs is Rp 75.000 per month.Keywords : Education Cost, Activity Based Costing
Prediction of Cyber Attack Losses by Attack Type and Country with Visual Approach and Quantitative Statistics Kabahing, Sepfanner; Kartadie, Rikie; Aditomo, Sigit; da silva, Ivònia Fàtima Ruas; Xavier, Francisco; Nur aini, Nur aini
Journal of Intelligent Software Systems Vol 4, No 1 (2025): Juli 2025
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v4i1.2002

Abstract

Cyberattacks continue to be a major threat to the digital infrastructure of countries around the world, significantly impacting economic stability, data security and public trust. This research aims to analyze financial losses due to cyberattacks by country, attack type, and affected industry sector, utilizing a visual exploratory approach through interactive dashboards and descriptive statistical analysis. The data used includes 3,000 cyber incidents from 10 countries, covering various attack types such as DDoS, Phishing, Malware, and Man-in-the-Middle. Visualization was developed using Power BI with DAX (Data Analysis Expressions) SUMX aggregation formula to calculate Total_Loss in order to dynamically estimate the cost of loss based on user interaction. The analysis showed that DDoS and Phishing attacks were the most frequent attack types, while the Information Technology, Banking and Government sectors recorded the highest accumulative losses. Geographically, the UK, Germany and Brazil were the countries with the largest total losses, with the highest average loss per incident found in Man-in-the-Middle and Phishing attacks. The findings underscore the urgency for the government and private sector to develop more responsive and data-driven mitigation strategies. This research confirms that the integration of dynamic visualization systems with quantitative analysis not only improves understanding of attack patterns, but also supports the decision-making process in efforts to strengthen national cybersecurity in a sustainable manner
The Impact of Covid-19 on Indonesia's Financial System Stability Using ARIMA Intervention Analysis Dyah Makutaning Dewi, Dyah Makutaning Dewi; Alvian Ferrandy, Alvian Ferrandy; Nur Aini, Nur Aini; Nasrudin, Nasrudin
AFEBI Economic and Finance Review Vol. 7 No. 1 (2022): June
Publisher : Asosiasi Fakultas Ekonomi dan Bisnis Indonesia

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Abstract

The financial system has an important role to play in helping the relocation of funds. If the financial system is in unstable condition it will disrupt production, consumption, and investment activities. Then, if financial institutions and financial markets that have a role as financial mediators are facing uncertainty, as a result the allocation of funds will not go well. Therefore, the financial system is strongly related to exchange rates and stocks. On March 2, 2020, the first case of Covid-19 occurred in Indonesia. As a result, the rupiah depreciated and in addition to impacting indonesia's weakening financial market conditions. Capital markets in Indonesia suffered a significant crash marked by a decline IHSG. The purpose of this research is to analyze the impact of Covid-19 on exchange rate movements and IHSG. This research uses the ARIMA intervention method. The results of the analysis showed the negative impact of Covid-19 on the stability of the financial system in Indonesia began to be felt after two weeks of confirmation of the first case. The depreciation of the rupiah is out of the ordinary since the 18th day and IHSG occurred since the 16th day after the announcement of the first case and temporary. Keywords: Covid-19, Exchange Rate, JCI, Financial Stability, Arima Intervention